Personal profile based on personal data and behaviour is used to adapt the room environment in which the delegate enters. The personal profile should take into account elements such as:

For identification:
  • RFID tag
  • Mobile phone Bluetooth address recognition
For the environment adaptation and behaviour learning:
  • Time of light switch off in the evening and switch on in the morning
  • Light level
  • Presence sensors
  • Windows opening
  • Temperature sensor
  • Electric devices (PC, TV, coffee maker) turning on/off

When the system understands that the person is sleeping, it could reduce the temperature and increase it when the delegate is expected to wake up. It should be closely integrated with the control and monitoring system of the pilot.

This use case has been implemented with the end-user control and monitoring system (UDG) connected to various devices: At the HEPIA office, we used a RFID reader, a lamp controlled by the X10 protocol, a KNX radiator valve and a computer managed by EnergyWise. At Champ-Baron, we used a RFID/NFC reader, the Philips Hue lamps, the Adhoco radiator valves and some computers with Cisco EnergyWise. For the sensors, we used an Advantic MTM-CM3000 mote with an Advantic MTS-CO1000 sensor board, a ZigBee luminance sensor (Adhoco P1). The Advantic MTS-CO1000 board has got a pressure sensor. Some pictures of these devices at the HEPIA office are displayed here:

The implementation of the use case was relatively easy and the tests were good enough. Following the person who has passed the RFID tag to the reader, UDG acts accordingly to the person’s habits. It is important that a building management system can adapt the building environment according to the preferences of each person.


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